The healing power of the aquatic commons
Bibliographic record
Abstract
This thesis expands upon predominantly land-based understandings of public space to include water \nfor the common good. The concept of an ‘Aquatic Commons’ orients a hybrid architectural and urban \ndesign program that contributes to the urban and social revitalization of downtown Winnipeg. Focusing \non the Civic Centre and South Point Douglas district—the historic site of colonial settler outposts, \nand of new affordable housing projects developed without social amenities that build community and \ncultivate safety—this thesis engages with the area’s social and spatial tensions that result from its low \nsocioeconomic standing, its criminal activity, and its inhabitants who are disproportionately affected by \nacute health issues. By proposing the adaptive reuse of two industrial buildings and their large site to \nhost recreational, educational and food security-focused programs that predominantly focus on water as \na cohesive programmatic feature, this thesis aims to cultivate inclusion and healing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".